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Industrial Data Platforms on Microsoft Azure: a decision guide for manufacturing – Part 1: From use case to Azure stack
From concept to implementation In the previous articles, we discussed architecture concepts for industrial data platforms: brownfield challenges, latency classes, batch versus streaming, the Medallion Architecture, and the question of edge versus cloud. But all these concepts remain abstract until they lead to concrete technology decisions. This article is a guide to finding the right technology foundation for
Industrial Data Platforms on Microsoft Azure: a decision guide for manufacturing – Part 2: From architecture to implementation and the most costly misunderstandings in practice
From the Azure stack to a viable architecture In the first part of this article, we translated typical manufacturing scenarios, from KPI reporting through OEE monitoring to predictive maintenance, into specific Azure stacks. We structured Azure building blocks to task clusters and demonstrated how data ingestion, storage, processing, and use interact using three example stack
Triadic Contracting
Why is it so difficult to be an excellent Scrum Master? One essential answer derived here is the lack of clarification of the mandate between team member and Scrum Master. In this context, the article distinguishes between explicit and implicit coaching, analyzes options, and culminates in a proposed solution.
Systemic Questioning Techniques
How can implicit coaching – i.e. coaching without an explicit mandate – succeed? This article describes the possibilities and limitations of systemic attitudes and systemic questioning techniques. A structured overview of diverse attitudes and techniques clarifies their goals and effects. Practical examples make transfer into everyday work easier.
Recap of the Thin[gk]athon “Manufacturing-X – Dataspace Adoption”
How can artificial intelligence (AI) models be trained across organizational boundaries without disclosing sensitive data or intellectual property?
ZEISS Strengthens Open Source Impact – Funding key projects and communities across the Open Source ecosystem
Free and Open Source Software (FOSS) plays a vital role in modern innovation, enabling collaboration, transparency, and technological progress across industries and boundaries. In 2025, we continue our commitment to supporting Open Source projects and communities that deliver meaningful impact, both within our organization and across the broader ecosystem. This year’s funding focuses on three
Recap Thin[gk]athon – Taking Virtual Shopfloor to the Next Level
The Thin[gk]athon demonstrates how interdisciplinary collaboration and innovative technologies drive the digitalization of production. Interdisciplinary teams have transformed real production data into an interactive 3D world and developed new solutions for industrial challenges.
Data ingestion as the basic building block of an industrial data platform – Part 2
While the first part of the article series provided an overview of the basics of data ingestion and the various data sources, this article focuses on the specific processes of data ingestion, common challenges, and tried-and-tested solutions. Architectures and patterns for data ingestion Batch vs. microbatch vs. streaming For data ingestion in industrial data platforms,
Data ingestion as the basic building block of an industrial data platform – Part 1
Find out why data ingestion is a key component of industrial data platforms and how it optimizes efficiency and costs in the manufacturing industry. Part 1 of our series highlights methods and techniques of data ingestion as well as concepts of data storage.
FOSS in Focus: ZEISS Honors Outstanding Open Source Projects
ZEISS champions Free and Open Source Software (FOSS) by supporting OpenSSH, OpenCV, and Silk.NET with EUR 15,000. These projects enhance secure communication, image processing, and multimedia application development. Our initiative highlights the importance of FOSS in driving innovation and productivity, expressing gratitude to developers for their significant contributions to our success.